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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,216 datasets
Ring-shear test data characterizes a feldspar sand used as an analogue for brittle crustal layers in tectonic experiments. The material, analyzed by the Helmholtz Laboratory for Tectonic Modelling, behaves as a Mohr-Coulomb material with reported internal friction coefficients and cohesions. The dataset originates from the CNR-IGG Tectonic Modelling Laboratory at the University of Florence.
Friction data from ring-shear tests characterize corundum sand used as a brittle crust analogue. The dataset includes internal friction coefficients and cohesions for three sieving heights (10, 20, 30 cm). Timothy Schmid from the University of Bern created this dataset to study packing density effects.
Success for All (SFA) is a whole-school reading intervention program for high-poverty elementary schools. This quantitative synthesis by Amanda Neitzel of Johns Hopkins University reviews 17 rigorous U.S. evaluations conducted over a 33-year period, finding a mean effect size of +0.24 on independent reading measures.
Geoscience Australia's assessment for the National CO2 Infrastructure Plan focuses on the Vlaming Sub-basin in the offshore South Perth Basin. The study integrates seismic, well, and marine datasets to evaluate the Gage Sandstone reservoir and South Perth Shale seal. It estimates a storage capacity of up to 1 gigatonne of CO2 in a reservoir unit covering over 1,500 km².
Geoscience Australia produced palaeogeographic maps for the South Perth Shale Supersequence as part of a 2011 National CO2 Infrastructure Plan project. The study maps the distribution and thickness of mudstone facies to characterize the containment potential for CO2 storage in the Vlaming Sub-basin. The work builds on a prior assessment estimating the shale could hold a CO2 column of up to 663 meters.
Historical greenhouse gas abundances from 1750-2019 and future projections from 2020-2500 are provided for nine Shared Socioeconomic Pathway (SSP) scenarios, including SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP3-7.0-lowNTCF, SSP4-3.4, SSP4-6.0, SSP5-3.4-over, and SSP5-8.5. The dataset also includes historical and projected effective radiative forcing (ERF) estimates, with best estimates and uncertainty percentiles, for both SSP and Representative Concentration Pathway (RCP) scenarios. This extended data underpins the IPCC Sixth Assessment Report, offering a more complete temporal and scenario coverage than the published abridged tables.
Central Highlands Water service area data containing sewer service districts. The dataset is provided by Central Highlands Water and was last updated on 2026-06-22. The data is available in multiple formats including CSV, HTML, and GEOJSON.
Geospatial data for water service districts within the Central Highlands Water service area. The dataset is provided by Central Highlands Water and was last updated on 2026-06-22. It includes multiple file formats such as CSV, GEOJSON, and KML for mapping and analysis.
Shota Shirasaka's study from 2026 provides data on the disconnect between automated facial expression recognition and human peer evaluations. It includes 702 peer ratings across nine dimensions for 27 Japanese pre-service teachers conducting 3-minute microteaching sessions. The dataset, shared under a CC-BY-4.0 license, contains results from DeepFace and Py-Feat analyses organized into three evidence levels.
figshare admin karger published supplementary material for a machine learning study on June 3, 2026. The dataset contains demographic, clinical, behavioral, and laboratory data from 809 children aged 6–12 years with ADHD. It was used to develop models predicting treatment response and adverse events for acupuncture combined with conventional care.
Australian Exclusive Economic Zone seabed mud content data extracted from Geoscience Australia's Marine Samples Database (MARS). The dataset compares the performance of 18 spatial interpolation methods, including machine learning combinations with ordinary kriging and inverse distance squared, across three regions. The study, hosted by the Australian Ocean Data Network, was last updated in June 2026.
A methodological study on near-infrared spectroscopy (NIRS) assessments in rock climbers, comprising data from 28 participants for forearm morphology and 22 participants for optode placement effects. The dataset includes measurements of adipose tissue thickness, flexor digitorum superficialis thickness, and flexor digitorum profundus thickness at three forearm sites, as well as haemodynamic outcomes from vascular occlusion and incremental finger flexor endurance tests. It was authored by Simon Vandenhaute and last updated on June 3, 2026.
A controlled driving simulation study collected physiological and subjective fatigue data from 40 participants. The dataset includes Heart Rate Variability (HRV) indicators combined with Karolinska Sleepiness Scale (KSS) and Rating of Fatigue (ROF) scores under normal and sleep-deprived conditions. The data was used to train machine learning models, with XGBoost achieving 77% accuracy for fatigue classification.
A dataset derived from a study of 36 beach ridges at Cowley Beach in tropical northeastern Australia, analyzing their morphology and stratigraphy to infer relative sea-level changes over the past approximately 7,000 years. The research utilized a fine-scale digital elevation model to compare ridge elevations with regional sea-level history, including a highstand around 6,000 years ago. The data was published in Marine Geology in 2019 and is hosted by the Australian Ocean Data Network.
Between 2013 and 2015, Geoscience Australia conducted a regional assessment of geological CO2 storage potential in the Browse Basin, offshore northwest Australia. The study focused on the Cretaceous succession to reduce conflict with existing hydrocarbon resources, using data from over 60 wells, seismic surveys, and geochemical analyses. It was part of the National CO2 Infrastructure Plan to identify storage sites near major emission sources.
37 paired assessments from 48 recorded in-situ cardiopulmonary resuscitation simulations in a tertiary emergency department. Chun-Ju Lien authored this prospective observational study comparing live and video-based Team Emergency Assessment Measure ratings, published on figshare in 2026. The dataset likely contains TEAM scores and agreement metrics.
All water bodies in England are covered in this impact assessment for updated river basin management plans. The dataset models two scenarios: one for all technically feasible improvements regardless of cost, and another only where benefits exceed costs. It was built from multiple data sources and is based on many assumptions.
England's school workforce data includes full-time equivalent regular teachers, support staff, and teaching assistants. The report also covers vacancy numbers and rates, sickness absence, ethnicity, and pupil-to-teacher ratios. It is designated as National Statistics and published by the Department for Education.
England's Department for Education publishes this Statistical First Release on pupil absence. The data covers primary and secondary schools, city technology colleges, and academies, and is designated as National Statistics. The dataset was last updated on 2026-07-08.
England's Department for Education provides national statistics on the overall achievements of young people in A level, AS level, and other equivalent examinations. The dataset is designated as National Statistics and is published by the UK government's Department for Education. It was last updated on July 8, 2026.